Xing Chen

71 papers Journal 67Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
DTI-MvSCA: An Anti-Over-Smoothing Multi-View Framework With Negative Sample Selection for Predicting Drug-Target Interactions.
IEEE J. Biomed. Health Informatics
Lihong Peng, Zongzheng Bai, Longlong Liu, Long Yang, Xin Liu, Min Chen, Xing Chen
2025 J jnl
Exploring Microbe-Drug Association Prediction via Multi-Attribute Dual-Decoder Graph Autoencoder.
IEEE J. Biomed. Health Informatics
Wei Liu, Xiangcheng Deng, Xingen Sun, Xu Lu, Xing Chen
2025 J jnl
Guest Editorial:Application of Computational Techniques in Drug Discovery and Disease Treatment.
IEEE J. Biomed. Health Informatics
Xing Chen, Qi Zhao
2025 J jnl
Predicting cell-cell communication by combining heterogeneous ensemble deep learning and weighted geometric mean.
Appl. Soft Comput.
Lihong Peng, Longlong Liu, Liangliang Huang, Zongzheng Bai, Min Chen, Xing Chen
2024 J jnl
CellDialog: A Computational Framework for Ligand-Receptor-Mediated Cell-Cell Communication Analysis.
IEEE J. Biomed. Health Informatics
Lihong Peng, Wei Xiong, Chendi Han, Zejun Li, Xing Chen
2024 J jnl
Computational model for drug research.
Briefings Bioinform.
Xing Chen, Li Huang
2024 J jnl
Drug-drug interaction prediction: databases, web servers and computational models.
Briefings Bioinform.
Yan Zhao, Jun Yin, Li Zhang, Yong Zhang, Xing Chen
2024 J jnl
Identifying potential ligand-receptor interactions based on gradient boosted neural network and interpretable boosting machine for intercellular communication analysis.
Comput. Biol. Medicine
Lihong Peng, Pengfei Gao, Wei Xiong, Zejun Li, Xing Chen
2024 J jnl
RFEM: A framework for essential microRNA identification in mice based on rotation forest and multiple feature fusion.
Comput. Biol. Medicine
Shu-Hao Wang, Yan Zhao, Chun-Chun Wang, Fei Chu, Lian-Ying Miao, Li Zhang, Linlin Zhuo, Xing Chen
2023 J jnl
Computational model for disease research.
Briefings Bioinform.
Xing Chen, Li Huang
2023 J jnl
Deciphering ligand-receptor-mediated intercellular communication based on ensemble deep learning and the joint scoring strategy from single-cell transcriptomic data.
Comput. Biol. Medicine
Lihong Peng, Jingwei Tan, Wei Xiong, Li Zhang, Zhao Wang, Ruya Yuan, Zejun Li, Xing Chen
2023 J jnl
GPCNDTA: Prediction of drug-target binding affinity through cross-attention networks augmented with graph features and pharmacophores.
Comput. Biol. Medicine
Li Zhang, Chun-Chun Wang, Yong Zhang, Xing Chen
2023 J jnl
MCFF-MTDDI: multi-channel feature fusion for multi-typed drug-drug interaction prediction.
Briefings Bioinform.
Chen-Di Han, Chun-Chun Wang, Li Huang, Xing Chen
2023 J jnl
SNRMPACDC: computational model focused on Siamese network and random matrix projection for anticancer synergistic drug combination prediction.
Briefings Bioinform.
Tian-Hao Li, Chun-Chun Wang, Li Zhang, Xing Chen
2022 — conf
A deep learning-based unsupervised learning method for spatially resolved transcriptomic data analysist.
BIBM
Lihong Peng, Xianzhi He, Li Zhang, Xinhuai Peng, Yuankang Lu, Zejun Li, Xing Chen
2022 — conf
Analyses of cell-to-cell communication combining a heterogeneous deep ensemble framework and scoring approaches from single-cell RNA sequencing data.
BIBM
Lihong Peng, Ruya Yuan, Chendi Han, Jingwei Tan, Zhao Wang, Min Chen, Xing Chen
2022 J jnl
Computational model for ncRNA research.
Briefings Bioinform.
Xing Chen, Li Huang
2022 J jnl
Dual-Network Collaborative Matrix Factorization for predicting small molecule-miRNA associations.
Briefings Bioinform.
Shu-Hao Wang, Chun-Chun Wang, Li Huang, Lian-Ying Miao, Xing Chen
2022 J jnl
Ensemble of kernel ridge regression-based small molecule-miRNA association prediction in human disease.
Briefings Bioinform.
Chun-Chun Wang, Chi-Chi Zhu, Xing Chen
2022 J jnl
Predicting drug-target binding affinity through molecule representation block based on multi-head attention and skip connection.
Briefings Bioinform.
Li Zhang, Chun-Chun Wang, Xing Chen
2022 J jnl
Prediction of potential miRNA-disease associations based on stacked autoencoder.
Briefings Bioinform.
Chun-Chun Wang, Tian-Hao Li, Li Huang, Xing Chen
2022 J jnl
Updated review of advances in microRNAs and complex diseases: experimental results, databases, webservers and data fusion.
Briefings Bioinform.
Li Huang, Li Zhang, Xing Chen
2022 J jnl
Updated review of advances in microRNAs and complex diseases: taxonomy, trends and challenges of computational models.
Briefings Bioinform.
Li Huang, Li Zhang, Xing Chen
2022 J jnl
Updated review of advances in microRNAs and complex diseases: towards systematic evaluation of computational models.
Briefings Bioinform.
Li Huang, Li Zhang, Xing Chen
2021 J jnl
Circular RNAs and complex diseases: from experimental results to computational models.
Briefings Bioinform.
Chun-Chun Wang, Chendi Han, Qi Zhao, Xing Chen
2021 J jnl
Deep-belief network for predicting potential miRNA-disease associations.
Briefings Bioinform.
Xing Chen, Tian-Hao Li, Yan Zhao, Chun-Chun Wang, Chi-Chi Zhu
2021 J jnl
Drug-pathway association prediction: from experimental results to computational models.
Briefings Bioinform.
Chun-Chun Wang, Yan Zhao, Xing Chen
2021 J jnl
Identification of miRNA-disease associations via multiple information integration with Bayesian ranking.
Briefings Bioinform.
Chi-Chi Zhu, Chun-Chun Wang, Yan Zhao, Mingcheng Zuo, Xing Chen
2021 J jnl
Microbes and complex diseases: from experimental results to computational models.
Briefings Bioinform.
Yan Zhao, Chun-Chun Wang, Xing Chen
2021 J jnl
Predicting potential small molecule-miRNA associations based on bounded nuclear norm regularization.
Briefings Bioinform.
Xing Chen, Chi Zhou, Chun-Chun Wang, Yan Zhao
2020 J jnl
Adaptive boosting-based computational model for predicting potential miRNA-disease associations.
Bioinform.
Yan Zhao, Xing Chen, Jun Yin
2020 J jnl
MicroRNA-small molecule association identification: from experimental results to computational models.
Briefings Bioinform.
Xing Chen, Na-Na Guan, Ya-Zhou Sun, Jian-Qiang Li, Jia Qu
2019 J jnl
A Unified Framework for the Prediction of Small Molecule-MicroRNA Association Based on Cross-Layer Dependency Inference on Multilayered Networks.
J. Chem. Inf. Model.
Chun-Chun Wang, Xing Chen
2019 J jnl
Adaptive boosting-based computational model for predicting potential miRNA-disease associations.
Bioinform.
Yan Zhao, Xing Chen, Jun Yin
2019 J jnl
Ensemble of decision tree reveals potential miRNA-disease associations.
PLoS Comput. Biol.
Xing Chen, Chi-Chi Zhu, Jun Yin
2019 J jnl
Integrating random walk and binary regression to identify novel miRNA-disease association.
BMC Bioinform.
Ya-Wei Niu, Guanghui Wang, Gui-Ying Yan, Xing Chen
2019 J jnl
LMTRDA: Using logistic model tree to predict MiRNA-disease associations by fusing multi-source information of sequences and similarities.
PLoS Comput. Biol.
Lei Wang, Zhu-Hong You, Xing Chen, Yang-Ming Li, Ya-Nan Dong, Li-Ping Li, Kai Zheng
2019 J jnl
MicroRNAs and complex diseases: from experimental results to computational models.
Briefings Bioinform.
Xing Chen, Di Xie, Qi Zhao, Zhu-Hong You
2019 J jnl
Prediction of potential miRNA-disease associations using matrix decomposition and label propagation.
Knowl. Based Syst.
Jia Qu, Xing Chen, Jun Yin, Yan Zhao, Zheng-Wei Li
2019 J jnl
RFSMMA: A New Computational Model to Identify and Prioritize Potential Small Molecule-MiRNA Associations.
J. Chem. Inf. Model.
Chun-Chun Wang, Xing Chen, Jia Qu, Ya-Zhou Sun, Jian-Qiang Li
2019 J jnl
RNA methylation and diseases: experimental results, databases, Web servers and computational models.
Briefings Bioinform.
Xing Chen, Ya-Zhou Sun, Hui Liu, Lin Zhang, Jian-Qiang Li, Jia Meng
2018 J jnl
A Computational-Based Method for Predicting Drug-Target Interactions by Using Stacked Autoencoder Deep Neural Network.
J. Comput. Biol.
Lei Wang, Zhu-Hong You, Xing Chen, Shixiong Xia, Feng Liu, Xin Yan, Yong Zhou, Kejian Song
2018 J jnl
A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases.
Bioinform.
Xing Chen, Yu-An Huang, Zhu-Hong You, Guiying Yan, Xuesong Wang
2018 J jnl
An improved efficient rotation forest algorithm to predict the interactions among proteins.
Soft Comput.
Lei Wang, Zhu-Hong You, Shixiong Xia, Xing Chen, Xin Yan, Yong Zhou, Feng Liu
2018 J jnl
BNPMDA: Bipartite Network Projection for MiRNA-Disease Association prediction.
Bioinform.
Xing Chen, Di Xie, Lei Wang, Qi Zhao, Zhu-Hong You, Hongsheng Liu
2018 J jnl
DroidDet: Effective and robust detection of android malware using static analysis along with rotation forest model.
Neurocomputing
Hui-Juan Zhu, Zhu-Hong You, Zexuan Zhu, Wei-Lei Shi, Xing Chen, Li Cheng
2018 J jnl
Fault Tolerance of λ-Optimal Graphs.
Ars Comb.
Xing Chen, Wei Xiong, Jixiang Meng
2018 J jnl
Inferring potential small molecule-miRNA association based on triple layer heterogeneous network.
J. Cheminformatics
Jia Qu, Xing Chen, Ya-Zhou Sun, Jian-Qiang Li, Zhong Ming
2018 J jnl
MDHGI: Matrix Decomposition and Heterogeneous Graph Inference for miRNA-disease association prediction.
PLoS Comput. Biol.
Xing Chen, Jun Yin, Jia Qu, Li Huang
2018 J jnl
MeT-DB V2.0: elucidating context-specific functions of N6-methyl-adenosine methyltranscriptome.
Nucleic Acids Res.
Hui Liu, Huaizhi Wang, Zhen Wei, Songyao Zhang, Gang Hua, Shao-Wu Zhang, Lin Zhang, Shou-Jiang Gao, Jia Meng, Xing Chen, Yufei Huang
2018 J jnl
Predicting miRNA-disease association based on inductive matrix completion.
Bioinform.
Xing Chen, Lei Wang, Jia Qu, Na-Na Guan, Jian-Qiang Li
2017 J jnl
A novel approach based on KATZ measure to predict associations of human microbiota with non-infectious diseases.
Bioinform.
Xing Chen, Yu-An Huang, Zhu-Hong You, Guiying Yan, Xuesong Wang
2017 — conf
Computational Methods for the Prediction of Drug-Target Interactions from Drug Fingerprints and Protein Sequences by Stacked Auto-Encoder Deep Neural Network.
ISBRA
Lei Wang, Zhu-Hong You, Xing Chen, Shixiong Xia, Feng Liu, Xin Yan, Yong Zhou
2017 J jnl
DLREFD: a database providing associations of long non-coding RNAs, environmental factors and phenotypes.
Database J. Biol. Databases Curation
Ya-Zhou Sun, De-Hong Zhang, Zhong Ming, Jian-Qiang Li, Xing Chen
2017 J jnl
HAMDA: Hybrid Approach for MiRNA-Disease Association prediction.
J. Biomed. Informatics
Xing Chen, Ya-Wei Niu, Guanghui Wang, Guiying Yan
2017 J jnl
LRSSLMDA: Laplacian Regularized Sparse Subspace Learning for MiRNA-Disease Association prediction.
PLoS Comput. Biol.
Xing Chen, Li Huang
2017 J jnl
Long non-coding RNAs and complex diseases: from experimental results to computational models.
Briefings Bioinform.
Xing Chen, Chenggang Clarence Yan, Xu Zhang, Zhu-Hong You
2017 J jnl
NRDTD: a database for clinically or experimentally supported non-coding RNAs and drug targets associations.
Database J. Biol. Databases Curation
Xing Chen, Ya-Zhou Sun, De-Hong Zhang, Jian-Qiang Li, Guiying Yan, Ji-Yong An, Zhu-Hong You
2017 J jnl
PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction.
PLoS Comput. Biol.
Zhu-Hong You, Zhi-An Huang, Zexuan Zhu, Guiying Yan, Zheng-Wei Li, Zhenkun Wen, Xing Chen
2017 J jnl
PSPEL: In Silico Prediction of Self-Interacting Proteins from Amino Acids Sequences Using Ensemble Learning.
IEEE ACM Trans. Comput. Biol. Bioinform.
Jian-Qiang Li, Zhu-Hong You, Xiao Li, Zhong Ming, Xing Chen
2016 J jnl
Construction of reliable protein-protein interaction networks using weighted sparse representation based classifier with pseudo substitution matrix representation features.
Neurocomputing
Yu-An Huang, Zhu-Hong You, Xiao Li, Xing Chen, Pengwei Hu, Shuai Li, Xin Luo
2016 J jnl
Distributed image understanding with semantic dictionary and semantic expansion.
Neurocomputing
Liang Li, Chenggang Clarence Yan, Xing Chen, Chunjie Zhang, Jian Yin, Baochen Jiang, Qingming Huang
2016 J jnl
Drug-target interaction prediction: databases, web servers and computational models.
Briefings Bioinform.
Xing Chen, Chenggang Clarence Yan, Xiaotian Zhang, Xu Zhang, Feng Dai, Jian Yin, Yongdong Zhang
2016 J jnl
Improved protein-protein interactions prediction via weighted sparse representation model combining continuous wavelet descriptor and PseAA composition.
BMC Syst. Biol.
Yu-An Huang, Zhu-Hong You, Xing Chen, Guiying Yan
2016 J jnl
NLLSS: Predicting Synergistic Drug Combinations Based on Semi-supervised Learning.
PLoS Comput. Biol.
Xing Chen, Biao Ren, Ming Chen, Quanxin Wang, Lixin Zhang, Guiying Yan
2016 J jnl
Sequence-based prediction of protein-protein interactions using weighted sparse representation model combined with global encoding.
BMC Bioinform.
Yu-An Huang, Zhu-Hong You, Xing Chen, Keith C. C. Chan, Xin Luo
2016 J jnl
Stochastic modeling suggests that noise reduces differentiation efficiency by inducing a heterogeneous drug response in glioma differentiation therapy.
BMC Syst. Biol.
Xiaoqiang Sun, Jiajun Zhang, Qi Zhao, Xing Chen, Wenbo Zhu, Guangmei Yan, Tianshou Zhou
2014 — conf
Large scale image understanding with non-convex multi-task learning.
GAMENETS
Liang Li, Chenggang Yan, Xing Chen, Shuqiang Jiang, Seungmin Rho, Jian Yin, Baochen Jiang, Qingming Huang
2014 J jnl
Super-λ Connectivity of Bipartite Graphs.
Ars Comb.
Xing Chen, Wei Xiong, Jixiang Meng
2013 J jnl
LncRNADisease: a database for long-non-coding RNA-associated diseases.
Nucleic Acids Res.
Geng Chen, Ziyun Wang, Dongqing Wang, Chengxiang Qiu, Mingxi Liu, Xing Chen, Qipeng Zhang, Guiying Yan, Qinghua Cui
2013 J jnl
Novel human lncRNA-disease association inference based on lncRNA expression profiles.
Bioinform.
Xing Chen, Guiying Yan